Nonlinear Equations - UFRJ
Nonlinear Equations - UFRJ
Nonlinear Equations - UFRJ
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viii<br />
FOREWORD<br />
solving<br />
( x<br />
y x)<br />
+ y (x + y) 2 = 325<br />
216<br />
( x<br />
y x)<br />
+ y + 2xy + (x − y) 2 = 91<br />
36 .<br />
It is believed to date from the end of the first dynasty of Babylon<br />
(16 th century BC). Yet, very little is known on how to efficiently<br />
solve nonlinear equations, and even counting the number of solutions<br />
of a specific nonlinear equation can be extremely challenging.<br />
These notes<br />
These notes correspond to a short course during the 28 th Colóquio<br />
Brasileiro de Matemática, held in Rio de Janeiro in July 2011. My<br />
plan is to let them grow into a book that can be used for a graduate<br />
course on the mathematics of nonlinear equation solving.<br />
Several topics are not properly covered yet. Subjects such as<br />
univariate solving, modern elimination theory, straight line programs,<br />
random matrices, toric homotopy, finding start systems for homotopy,<br />
how to certify degenerate roots or curves of solutions [83], tropical<br />
geometry, Diophantine approximation, real solving and Khovanskii’s<br />
theory of fewnomials [49] should certainly deserve extra chapters.<br />
Other topics may be a moving subject (see below).<br />
At this time, these notes are untested and unrefereed. I will keep<br />
an errata in my page, http://www.labma.ufrj.br/~gregorio<br />
Most of the material here is known, but some of it is new. To<br />
my knowledge, the systematic study of spaces of complex fewnomial<br />
spaces (nicknamed fewspaces in Definition 5.2) is not available in<br />
other books (though Theorem 5.11 was well known).<br />
The theory of condition numbers for sparse polynomial systems<br />
(Chapter 8) presents clarifications over previous tentatives (to my<br />
knowledge only [58] and [59]). Theorem 8.23 is a strong improvement<br />
over known bounds.<br />
Newton iteration and ‘alpha theory’ seem to be more mature topics,<br />
where sharp constants are known. However, I am unaware of